{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# coding=utf-8\n",
    "import cv2\n",
    "import numpy as np\n",
    "from numpy import random\n",
    "import math\n",
    "\n",
    "\n",
    "class RandomRotation(object):\n",
    "    def __call__(self, image, keypoints):\n",
    "        h, w, c = image.shape\n",
    "        center = (w / 2, h / 2)\n",
    "        print(\"RandomRotation---\")\n",
    "        if random.randint(2):\n",
    "            degree = random.randint(-30, 30)\n",
    "            w_r = int(w * math.fabs(math.cos(math.radians(degree))) +\n",
    "                      h * math.fabs(math.sin(math.radians(degree))))\n",
    "            h_r = int(w * math.fabs(math.sin(math.radians(degree))) +\n",
    "                      h * math.fabs(math.cos(math.radians(degree))))\n",
    "            m = cv2.getRotationMatrix2D(center, degree, 1)  # 旋转矩阵\n",
    "            m[0][2] += (w_r - w) / 2\n",
    "            m[1][2] += (h_r - h) / 2\n",
    "            image = cv2.warpAffine(image, m, (w_r, h_r))\n",
    "            # 计算旋转后的关节点的位置\n",
    "            kps = np.reshape(keypoints, (-1, 3))[:, 0:2]\n",
    "            v = np.reshape(keypoints, (-1, 3))[:, 2]\n",
    "            kps = np.hstack((kps, np.ones(14, dtype=int)[:, np.newaxis]))\n",
    "            kps = np.dot(kps, m.T).astype('int')\n",
    "            keypoints = np.hstack((kps, v[:, np.newaxis]))\n",
    "        return image, keypoints\n",
    "\n",
    "\n",
    "class RandomMirror(object):  # 实现图片的水平反转flip\n",
    "    def __call__(self, image, keypoints):\n",
    "        h, w, c = image.shape\n",
    "\n",
    "        if random.randint(2):\n",
    "            image = image[:, ::-1].copy()\n",
    "            keypoints = keypoints.copy()\n",
    "            keypoints[:, 0] = w - keypoints[:, 0]\n",
    "        return image, keypoints\n",
    "\n",
    "\n",
    "class RandomContrast(object):\n",
    "    def __init__(self, lower=0.5, upper=1.5):\n",
    "        self.lower = lower\n",
    "        self.upper = upper\n",
    "        assert self.upper >= self.lower, \"contrast upper must be >= lower.\"\n",
    "        assert self.lower >= 0, \"contrast lower must be non-negative.\"\n",
    "\n",
    "    # expects float image\n",
    "    def __call__(self, image, keypoints=None):\n",
    "        if random.randint(2):\n",
    "            alpha = random.uniform(self.lower, self.upper)\n",
    "            #             image *= alpha\n",
    "            np.multiply(image, alpha, out=image, casting='unsafe')\n",
    "        return image, keypoints\n",
    "\n",
    "\n",
    "class ConvertColor(object):\n",
    "    \"\"\"颜色空间转换\"\"\"\n",
    "\n",
    "    def __init__(self, current='BGR', transform='HSV'):\n",
    "        self.transform = transform\n",
    "        self.current = current\n",
    "\n",
    "    def __call__(self, image, keypoints=None):\n",
    "        if self.current == 'BGR' and self.transform == 'HSV':\n",
    "            image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)\n",
    "        elif self.current == 'HSV' and self.transform == 'BGR':\n",
    "            image = cv2.cvtColor(image, cv2.COLOR_HSV2BGR)\n",
    "        else:\n",
    "            raise NotImplementedError\n",
    "        return image, keypoints\n",
    "\n",
    "\n",
    "class RandomBrightness(object):\n",
    "    \"\"\"随机增加图片的亮度\"\"\"\n",
    "\n",
    "    def __init__(self, delta=32):\n",
    "        assert delta >= 0.0\n",
    "        assert delta <= 255.0\n",
    "        self.delta = delta\n",
    "\n",
    "    def __call__(self, image, keypoints=None):\n",
    "        if random.randint(2):\n",
    "            delta = random.uniform(-self.delta, self.delta)\n",
    "            #             image += delta\n",
    "            np.add(image, delta, out=image, casting=\"unsafe\")\n",
    "        return image, keypoints\n",
    "\n",
    "\n",
    "class RandomSaturation(object):\n",
    "    \"\"\"随机饱和度\"\"\"\n",
    "\n",
    "    def __init__(self, lower=0.5, upper=1.5):\n",
    "        self.lower = lower\n",
    "        self.upper = upper\n",
    "        assert self.upper >= self.lower, \"contrast upper must be >= lower.\"\n",
    "        assert self.lower >= 0, \"contrast lower must be non-negative.\"\n",
    "\n",
    "    def __call__(self, image, keypoints=None):\n",
    "        if random.randint(2):\n",
    "            #             image[:, :, 1] *= random.uniform(self.lower, self.upper)\n",
    "            np.multiply(image[:, :, 1], random.uniform(self.lower, self.upper),\n",
    "                        out=image[:, :, 1], casting=\"unsafe\")\n",
    "\n",
    "        return image, keypoints\n",
    "\n",
    "\n",
    "class RandomHue(object):\n",
    "    \"\"\"随机色调(色相)\"\"\"\n",
    "\n",
    "    def __init__(self, delta=18.0):\n",
    "        assert 0.0 <= delta <= 360.0\n",
    "        self.delta = delta\n",
    "\n",
    "    def __call__(self, image, keypoints=None):\n",
    "        if random.randint(2):\n",
    "            #             image[:, :, 0] += random.uniform(-self.delta, self.delta)\n",
    "            np.add(image[:, :, 0],\n",
    "                   random.uniform(-self.delta, self.delta),\n",
    "                   out=image[:, :, 0], casting=\"unsafe\")\n",
    "            #             image[:, :, 0][image[:, :, 0] > 360.0] -= 360.0\n",
    "            np.subtract(image[:, :, 0][image[:, :, 0] > 360.0], 360.0,\n",
    "                        out=image[:, :, 0][image[:, :, 0] > 360.0], casting='unsafe')\n",
    "            #             image[:, :, 0][image[:, :, 0] < 0.0] += 360.0\n",
    "            np.subtract(image[:, :, 0][image[:, :, 0] < 0.0], 360.0,\n",
    "                        out=image[:, :, 0][image[:, :, 0] < 0.0], casting='unsafe')\n",
    "        return image, keypoints\n",
    "\n",
    "\n",
    "class RandomLightingNoise(object):\n",
    "    \"\"\"随机交换图片的通道,也就是随机shuffle channels的顺序\"\"\"\n",
    "\n",
    "    def __init__(self):\n",
    "        self.perms = ((0, 1, 2), (0, 2, 1),\n",
    "                      (1, 0, 2), (1, 2, 0),\n",
    "                      (2, 0, 1), (2, 1, 0))\n",
    "\n",
    "    def __call__(self, image, keypoints=None):\n",
    "        if random.randint(2):\n",
    "            swap = self.perms[random.randint(len(self.perms))]\n",
    "            shuffle = SwapChannels(swap)  # shuffle channels\n",
    "            image = shuffle(image)\n",
    "        return image, keypoints\n",
    "\n",
    "\n",
    "class SwapChannels(object):\n",
    "    def __init__(self, swaps):\n",
    "        self.swaps = swaps\n",
    "\n",
    "    def __call__(self, image):\n",
    "        image = image[:, :, self.swaps]\n",
    "        return image\n",
    "\n",
    "\n",
    "class PhotometricDistort(object):\n",
    "    def __init__(self):\n",
    "        self.pd = [\n",
    "            RandomContrast(),\n",
    "            ConvertColor(transform='HSV'),\n",
    "            RandomSaturation(),\n",
    "            RandomHue(),\n",
    "            ConvertColor(current='HSV', transform='BGR'),\n",
    "            RandomContrast()\n",
    "        ]\n",
    "        self.rand_brightness = RandomBrightness()\n",
    "        self.rand_light_noise = RandomLightingNoise()\n",
    "\n",
    "    def __call__(self, image, keypoints):\n",
    "        print(\"photometricdistort---\")\n",
    "        im = image.copy()\n",
    "        im, keypoints = self.rand_brightness(im, keypoints)\n",
    "        if random.randint(2):\n",
    "            distort = Compose(self.pd[:-1])\n",
    "        else:\n",
    "            distort = Compose(self.pd[1:])\n",
    "        im, keypoints = distort(im, keypoints)\n",
    "        return self.rand_light_noise(im, keypoints)\n",
    "\n",
    "\n",
    "class Make_padding(object):\n",
    "    def __call__(self, image):\n",
    "        h, w, c = image.shape\n",
    "        if h > w:\n",
    "            image = np.concatenate((image, np.zeros((h, h - w, 3), dtype=image.dtype)), axis=1)\n",
    "        elif w > h:\n",
    "            image = np.concatenate((image, np.zeros((w - h, w, 3), dtype=image.dtype)), axis=0)\n",
    "        return image\n",
    "\n",
    "\n",
    "class Resize(object):\n",
    "    def __init__(self, size=256):\n",
    "        self.size = size\n",
    "        self.mp = Make_padding()\n",
    "\n",
    "    def __call__(self, image, keypoints):\n",
    "        image = self.mp(image)\n",
    "        image = cv2.resize(image, (self.size, self.size))\n",
    "        return image, keypoints\n",
    "\n",
    "\n",
    "class KeypointTransform(object):\n",
    "    def __call__(self, image, keypoints):\n",
    "        h, w, c = image.shape\n",
    "        print(\"KeypointTransform---\")\n",
    "        if h > w:\n",
    "            scale = 256.0 / h\n",
    "            m = np.array([[scale, 0, 0], [0, scale, 0]])  # 缩放变换矩阵\n",
    "            keypoints = np.reshape(keypoints.copy(), (-1, 3))\n",
    "            v = keypoints[:, 2]\n",
    "            #             keypoints = np.dot(keypoints, m.T)\n",
    "            keypoints = np.hstack((np.dot(keypoints, m.T), v[:, np.newaxis]))\n",
    "        else:\n",
    "            scale = 256.0 / w\n",
    "            m = np.array([[scale, 0, 0], [0, scale, 0]])  # 缩放变换矩阵\n",
    "            keypoints = np.reshape(keypoints.copy(), (-1, 3))\n",
    "            v = keypoints[:, 2]\n",
    "            keypoints = np.hstack((np.dot(keypoints, m.T), v[:, np.newaxis]))\n",
    "        return image, keypoints.astype('int')\n",
    "\n",
    "\n",
    "class GenerateLabel(object):\n",
    "    def __call__(self, image, keypoints):\n",
    "        radius = 10\n",
    "        heatmap_res = None\n",
    "        x = np.arange(0, 256, dtype=np.uint32)\n",
    "        y = np.arange(0, 256, dtype=np.uint32)[:, np.newaxis]\n",
    "        for kp in keypoints:\n",
    "            if kp[2] == 1:\n",
    "                if heatmap_res is None:\n",
    "                    heatmap_res = ((x - kp[0]) ** 2 + (y - kp[1]) ** 2) <= radius ** 2\n",
    "                else:\n",
    "                    heatmap_res = np.vstack((heatmap_res, (((x - kp[0]) ** 2 + (y - kp[1]) ** 2) <= radius ** 2)))\n",
    "            else:\n",
    "                if heatmap_res is None:\n",
    "                    heatmap_res = np.zeros((256, 256), dtype=np.uint8)\n",
    "                else:\n",
    "                    heatmap_res = np.vstack((heatmap_res, np.zeros((256, 256), dtype=np.uint8)))\n",
    "        heatmap_res = heatmap_res.astype(np.uint8)\n",
    "\n",
    "        return image, np.reshape(heatmap_res, (-1, 256, 256))\n",
    "\n",
    "\n",
    "class Compose(object):\n",
    "    def __init__(self, transforms):\n",
    "        self.transforms = transforms\n",
    "\n",
    "    def __call__(self, iamge, keypoints):\n",
    "        for t in self.transforms:\n",
    "            image, keypoints = t(iamge, keypoints)\n",
    "        return image, keypoints\n",
    "\n",
    "\n",
    "class HPEAugmentation(object):\n",
    "    def __init__(self):\n",
    "        self.augment = transforms.Compose([\n",
    "            RandomMirror(),\n",
    "            PhotometricDistort(),\n",
    "            RandomRotation(),\n",
    "            KeypointTransform()\n",
    "        ])\n",
    "    def __call__(self, image, keypoints):\n",
    "#         image, keypoints = self.augment(image, keypoints)\n",
    "        return self.augment(image, keypoints)\n",
    "    \n",
    "class HPETest(object):\n",
    "    def __init__(self):\n",
    "        self.rm = RandomMirror()\n",
    "        self.pd = PhotometricDistort()\n",
    "        self.rr = RandomRotation()\n",
    "        self.kt = KeypointTransform()\n",
    "    def __call__(self, image, keypoints):\n",
    "        image, keypoints = self.rm(image, keypoints)\n",
    "        image, keypoints = self.pd(image, keypoints)\n",
    "        image, keypoints = self.rr(image, keypoints)\n",
    "        image, keypoints = self.kt(image, keypoints)\n",
    "        return image, keypoints\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from torchvision import transforms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import cv2\n",
    "from matplotlib import pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def show_landmarks(image, landmarks=None):\n",
    "    \"\"\"Show image with landmarks\"\"\"\n",
    "    plt.imshow(image)\n",
    "    if landmarks is not None:\n",
    "        plt.scatter(landmarks[:, 0], landmarks[:, 1], s=10, marker='o', c='r')\n",
    "    plt.pause(0.001) \n",
    "\n",
    "import pickle\n",
    "path = '../interim_data/train_preprocessed.pkl'\n",
    "with open(path, 'rb') as f:\n",
    "    pro_annos = pickle.load(f)\n",
    "im_dir='/media/bnrc2/_backup/ai/ai_challenger_keypoint_train_20170902/keypoint_train_images_20170902/'\n",
    "\n",
    "anno = pro_annos[1]\n",
    "img = cv2.imread(im_dir + anno['image_id'] + '.jpg')\n",
    "lx, ly = anno['coords'][:2]\n",
    "rx, ry = anno['coords'][2:]\n",
    "img1 = img[ly:ry, lx:rx, :]\n",
    "plt.imshow(img1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "kps = np.array(anno['keypoints']).reshape(-1, 3)\n",
    "kps = kps - [95, 171, 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "photometricdistort---\n",
      "RandomRotation---\n",
      "KeypointTransform---\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f415f4494e0>"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAM8AAAD8CAYAAADQb/BcAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nbXWb+v89c565UIz0hwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f415f691e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ht = HPETest()\n",
    "im,kps = ht(img1, kps)\n",
    "plt.imshow(im)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "__call__() takes 2 positional arguments but 3 were given",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-48-229ab44a65a0>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mhpe\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mHPEAugmentation\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mhpeimg\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhpekps\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mhpe\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimg1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkps\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhpeimg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<ipython-input-47-0c13eba5c187>\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, image, keypoints)\u001b[0m\n\u001b[1;32m    263\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__call__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mimage\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkeypoints\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    264\u001b[0m \u001b[0;31m#         image, keypoints = self.augment(image, keypoints)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 265\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maugment\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimage\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkeypoints\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    266\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    267\u001b[0m \u001b[0;32mclass\u001b[0m \u001b[0mHPETest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobject\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mTypeError\u001b[0m: __call__() takes 2 positional arguments but 3 were given"
     ]
    }
   ],
   "source": [
    "hpe = HPEAugmentation()\n",
    "hpeimg, hpekps = hpe(img1, kps)\n",
    "plt.imshow(hpeimg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQYAAAD8CAYAAACVSwr3AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ncMABB7wDh8RwwAEHvAOHxHDAAQe8A/8/JkBd5yTELgAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f41c634ac88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "kt = KeypointTransform()\n",
    "kt_im, kt_kps = kt(img1, kps)\n",
    "\n",
    "resize = Resize()\n",
    "r_im, r_kps = resize(kt_im, kt_kps)\n",
    "plt.figure()\n",
    "show_landmarks(r_im, r_kps)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAJAAAAD8CAYAAACYcC2ZAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAj2ItxT/B2bmBKVf/z96AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f41c02e1c18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd = PhotometricDistort()\n",
    "pd_im, pd_kps = pd(img1, kps)\n",
    "plt.figure()\n",
    "show_landmarks(pd_im, pd_kps)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [default]",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
